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SPAM – A Process Model for Developing Smart Personal Assistants

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dc.contributor.author Winkler, Rainer
dc.contributor.author Elshan, Edona
dc.contributor.author Söllner, Matthias
dc.contributor.author Leimeister, Jan
dc.date.accessioned 2020-01-04T07:11:20Z
dc.date.available 2020-01-04T07:11:20Z
dc.date.issued 2020-01-07
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63772
dc.description.abstract Information technology capabilities are growing at an impressive pace and increasingly overstrain the cognitive abilities of users. User assistance systems such as online manuals try to help the user in handling these systems. However, there is strong evidence that traditional user assistance systems are not as effective as intended. With the rise of smart personal assistants, such as Amazon’s Alexa, user assistance systems are becoming more sophisticated by offering a higher degree of interaction and intelligence. This study proposes a process model to develop Smart Personal Assistants. Using a design science research approach, we first gather requirements from Smart Personal Assistant designers and theory, and later evaluate the process model with developing an Amazon Alexa Skill for a Smart Home system. This paper contributes to the existing user assistance literature by offering a new process model on how to design Smart Personal Assistants for intelligent systems.
dc.format.extent 10 pages
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Collaboration with Automation: Machines as Teammates
dc.subject advanced user assistance system
dc.subject amazon alexa
dc.subject design science research
dc.subject process model
dc.subject smart personal assistant
dc.title SPAM – A Process Model for Developing Smart Personal Assistants
dc.type Conference Paper
dc.type.dcmi Text
dc.identifier.doi 10.24251/HICSS.2020.033
Appears in Collections: Collaboration with Automation: Machines as Teammates


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